目的设计单纯疱疹病毒2型(HSV-2)诊断芯片的O ligo探针。方法利用BLA ST软件对HSV-2的DNA序列进行序列比对,得到有意义的特异序列;用生物学软件O ligo6.0设计特异性高、Tm值相近、长度均一的O ligo探针。结果获得13条60-m er O ligo探...目的设计单纯疱疹病毒2型(HSV-2)诊断芯片的O ligo探针。方法利用BLA ST软件对HSV-2的DNA序列进行序列比对,得到有意义的特异序列;用生物学软件O ligo6.0设计特异性高、Tm值相近、长度均一的O ligo探针。结果获得13条60-m er O ligo探针。结论利用BLA ST系统和生物学软件O ligo6.0设计HSV-2诊断芯片的探针,可为后期打印成DNA芯片,用于HSV-2的检测打下基础。展开更多
In this work,we propose a real proportional-integral-derivative plus second-order derivative(PIDD2)controller as an efficient controller for vehicle cruise control systems to address the challenging issues related to ...In this work,we propose a real proportional-integral-derivative plus second-order derivative(PIDD2)controller as an efficient controller for vehicle cruise control systems to address the challenging issues related to efficient operation.In this regard,this paper is the first report in the literature demonstrating the implementation of a real PIDD2 controller for controlling the respective system.We construct a novel and efficient metaheuristic algorithm by improving the performance of the Aquila Optimizer via chaotic local search and modified opposition-based learning strategies and use it as an excellently performing tuning mechanism.We also propose a simple yet effective objective function to increase the performance of the proposed algorithm(CmOBL-AO)to adjust the real PIDD2 controller's parameters effectively.We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm,gravitational search algorithm,African vultures optimization,and the Aquila Optimizer using well-known unimodal,multimodal benchmark functions.CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm.For the vehicle cruise control system,we confirm the more excellent performance of the proposed method against particle swarm,gray wolf,salp swarm,and original Aquila optimizers using statistical,Wilcoxon signed-rank,time response,robustness,and disturbance rejection analyses.We also use fourteen reported methods in the literature for the vehicle cruise control system to further verify the more promising performance of the CmOBL-AO-based real PIDD2 controller from a wider perspective.The excellent performance of the proposed method is also illustrated through different quality indicators and different operating speeds.Lastly,we also demonstrate the good performing capability of the CmOBL-AO algorithm for real traffic cases.We show the CmOBL-AO-based real PIDD2 controller as the most efficient method to control a vehicle cruise control system.展开更多
基本局部比对搜索工具(basic local alignment search tool,BLAST)是核酸或蛋白质序列相似性分析最常用的工具之一。因为程序涉及参数较多,一些学生和研究者有时不根据实际情况也不阅读说明书就直接选择默认参数,可能会得出错误结论。BL...基本局部比对搜索工具(basic local alignment search tool,BLAST)是核酸或蛋白质序列相似性分析最常用的工具之一。因为程序涉及参数较多,一些学生和研究者有时不根据实际情况也不阅读说明书就直接选择默认参数,可能会得出错误结论。BLAST可以进行核酸、蛋白质序列及其相互间的比对,一些低年级学生会有困惑,不知如何进行程序的选择等问题。鉴于这些情况,笔者尝试用2020年初网络的热议话题"新冠病毒极有可能源于实验室"作为引子吸引学生注意力,通过复现并从理论上初步分析其错误,以及产生错误的原因来达到让本科生快速熟悉BLAST的使用及易错点,达到BLAST理论教学的目的。在实验课中,虚构恐龙基因,即一个小组在基因中插入"密码",由另一小组解开"密码",通过小组间利用BLAST工具进行加密与解密的趣味活动,从而加深对程序正确选择的理解,同时巩固了理论教学内容。此教学设计利用当下新冠病毒起源的热点话题不仅提高了学生的学习兴趣,同时也帮助他们利用该工具解决实际问题,培养了学生利用专业知识进行言论分辨的能力。希望此文能对BLAST工具的正确使用和新医科背景下生物医学教学有所启发和帮助。展开更多
文摘目的设计单纯疱疹病毒2型(HSV-2)诊断芯片的O ligo探针。方法利用BLA ST软件对HSV-2的DNA序列进行序列比对,得到有意义的特异序列;用生物学软件O ligo6.0设计特异性高、Tm值相近、长度均一的O ligo探针。结果获得13条60-m er O ligo探针。结论利用BLA ST系统和生物学软件O ligo6.0设计HSV-2诊断芯片的探针,可为后期打印成DNA芯片,用于HSV-2的检测打下基础。
文摘In this work,we propose a real proportional-integral-derivative plus second-order derivative(PIDD2)controller as an efficient controller for vehicle cruise control systems to address the challenging issues related to efficient operation.In this regard,this paper is the first report in the literature demonstrating the implementation of a real PIDD2 controller for controlling the respective system.We construct a novel and efficient metaheuristic algorithm by improving the performance of the Aquila Optimizer via chaotic local search and modified opposition-based learning strategies and use it as an excellently performing tuning mechanism.We also propose a simple yet effective objective function to increase the performance of the proposed algorithm(CmOBL-AO)to adjust the real PIDD2 controller's parameters effectively.We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm,gravitational search algorithm,African vultures optimization,and the Aquila Optimizer using well-known unimodal,multimodal benchmark functions.CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm.For the vehicle cruise control system,we confirm the more excellent performance of the proposed method against particle swarm,gray wolf,salp swarm,and original Aquila optimizers using statistical,Wilcoxon signed-rank,time response,robustness,and disturbance rejection analyses.We also use fourteen reported methods in the literature for the vehicle cruise control system to further verify the more promising performance of the CmOBL-AO-based real PIDD2 controller from a wider perspective.The excellent performance of the proposed method is also illustrated through different quality indicators and different operating speeds.Lastly,we also demonstrate the good performing capability of the CmOBL-AO algorithm for real traffic cases.We show the CmOBL-AO-based real PIDD2 controller as the most efficient method to control a vehicle cruise control system.
文摘基本局部比对搜索工具(basic local alignment search tool,BLAST)是核酸或蛋白质序列相似性分析最常用的工具之一。因为程序涉及参数较多,一些学生和研究者有时不根据实际情况也不阅读说明书就直接选择默认参数,可能会得出错误结论。BLAST可以进行核酸、蛋白质序列及其相互间的比对,一些低年级学生会有困惑,不知如何进行程序的选择等问题。鉴于这些情况,笔者尝试用2020年初网络的热议话题"新冠病毒极有可能源于实验室"作为引子吸引学生注意力,通过复现并从理论上初步分析其错误,以及产生错误的原因来达到让本科生快速熟悉BLAST的使用及易错点,达到BLAST理论教学的目的。在实验课中,虚构恐龙基因,即一个小组在基因中插入"密码",由另一小组解开"密码",通过小组间利用BLAST工具进行加密与解密的趣味活动,从而加深对程序正确选择的理解,同时巩固了理论教学内容。此教学设计利用当下新冠病毒起源的热点话题不仅提高了学生的学习兴趣,同时也帮助他们利用该工具解决实际问题,培养了学生利用专业知识进行言论分辨的能力。希望此文能对BLAST工具的正确使用和新医科背景下生物医学教学有所启发和帮助。
